Investigation of the Glimn-Kirchmayer Input-Output Method for Hydropower Plant Modelling using Swarming Intelligence Computing Techniques

Abstract: In order to model a modern power system generation, optimization is typically performed with the aim of improving the relative Input-Output (I-O) performance such as the efficiency, energy, and input-output response while considering certain underlying constraints and system objectives. While the Nigerian hydro power plants have been proven to be a somewhat more reliable and more enviro-friendly energy base with some recent improvement in generation capacity, the system has been reported to operate sub-optimally leading to huge power losses and systems malfunction. In this research paper, the optimization of an existing Nigerian Hydro-Power Plant – the Shiroro Hydro Power Station (SHPP) is simulated using the MATLAB programming language and considering several swarm intelligence hybridized optimizers – the PSO, SMO, BBO and the ABCO. The reported results showed the BBO as the best method while the SMO as the least performing.

Keywords: Hydro Power, Intelligence, Optimization, Simulation, Swarm.